Triple
T13911610
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | xXx: Return of Xander Cage |
E334510
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object |
Xiang
Xiang is a skilled and fearless operative in the film "xXx: Return of Xander Cage," known for his combat prowess and leadership within a rival xXx team.
|
E1067225
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Xiang | Statement: [xXx: Return of Xander Cage, character, Xiang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Xiang Context triple: [xXx: Return of Xander Cage, character, Xiang]
-
A.
Xiang
Xiang is a major group of Chinese dialects spoken primarily in Hunan province, known for preserving many archaic features of Middle Chinese.
-
B.
Xiang
Xiang is the standard abbreviation and common short name used to refer to China’s Hunan Province.
-
C.
Xiangbo
Xiangbo is the given name of Ma Xiangbo, a prominent Chinese Jesuit priest, educator, and co-founder of several influential modern universities in China.
-
D.
Xuan
Xuan is a Vietnamese surname commonly used as a family name in Vietnam.
-
E.
Xuan
Xuan is the posthumous honorific title given to the influential Cao Wei general and statesman Sima Yi, who played a key role in the Three Kingdoms period of Chinese history.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Xiang Triple: [xXx: Return of Xander Cage, character, Xiang]
Generated description
Xiang is a skilled and fearless operative in the film "xXx: Return of Xander Cage," known for his combat prowess and leadership within a rival xXx team.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Xiang Target entity description: Xiang is a skilled and fearless operative in the film "xXx: Return of Xander Cage," known for his combat prowess and leadership within a rival xXx team.
-
A.
Xiang
Xiang is the standard abbreviation and common short name used to refer to China’s Hunan Province.
-
B.
Xiang
Xiang is a major group of Chinese dialects spoken primarily in Hunan province, known for preserving many archaic features of Middle Chinese.
-
C.
Xiangbo
Xiangbo is the given name of Ma Xiangbo, a prominent Chinese Jesuit priest, educator, and co-founder of several influential modern universities in China.
-
D.
Xuan
Xuan is a Vietnamese surname commonly used as a family name in Vietnam.
-
E.
Xuan
Xuan is the posthumous honorific title given to the influential Cao Wei general and statesman Sima Yi, who played a key role in the Three Kingdoms period of Chinese history.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d81c5eaa9c819083b1ff8689179565 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2723461881908376b5509ee0d530 |
completed | April 14, 2026, 11:38 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c72879e48190ac01d0a2023b098c |
completed | May 3, 2026, 10:07 p.m. |
| NEDg | Description generation | batch_69f7c7b9e4888190822501d439df142a |
completed | May 3, 2026, 10:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7c83e31d4819094209406fc99456a |
completed | May 3, 2026, 10:12 p.m. |
Created at: April 9, 2026, 10:16 p.m.